Escucha y lee

Descubre un mundo infinito de historias

  • Lee y escucha todo lo que quieras
  • Más de 900 000 títulos
  • Títulos exclusivos + Storytel Originals
  • 7 días de prueba gratis, luego $7.99 /mes
  • Cancela cuando quieras
Suscríbete ahora
Copy of Device Banner Block 894x1036 3

Python Data Mining Quick Start Guide: A beginner's guide to extracting valuable insights from your data

Idioma
Inglés
Format
Categoría

No ficción

Explore the different data mining techniques using the libraries and packages offered by Python

Key Features

• Grasp the basics of data loading, cleaning, analysis, and visualization

• Use the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data mining

• Your one-stop guide to build efficient data mining pipelines without going into too much theory

Book Description

Data mining is a necessary and predictable response to the dawn of the information age. It is typically defined as the pattern and/ or trend discovery phase in the data mining pipeline, and Python is a popular tool for performing these tasks as it offers a wide variety of tools for data mining.

This book will serve as a quick introduction to the concept of data mining and putting it to practical use with the help of popular Python packages and libraries. You will get a hands-on demonstration of working with different real-world datasets and extracting useful insights from them using popular Python libraries such as NumPy, pandas, scikit-learn, and matplotlib. You will then learn the different stages of data mining such as data loading, cleaning, analysis, and visualization. You will also get a full conceptual description of popular data transformation, clustering, and classification techniques.

By the end of this book, you will be able to build an efficient data mining pipeline using Python without any hassle.

What you will learn

• Explore the methods for summarizing datasets and visualizing/plotting data

• Collect and format data for analytical work

• Assign data points into groups and visualize clustering patterns

• Learn how to predict continuous and categorical outputs for data

• Clean, filter noise from, and reduce the dimensions of data

• Serialize a data processing model using scikit-learn's pipeline feature

• Deploy the data processing model using Python's pickle module

Who this book is for

Python developers interested in getting started with data mining will love this book. Budding data scientists and data analysts looking to quickly get to grips with practical data mining with Python will also find this book to be useful. Knowledge of Python programming is all you need to get started.

© 2019 Packt Publishing (eBook): 9781789806403

Fecha de lanzamiento

eBook: 25 de abril de 2019

Otros también disfrutaron...

Siempre con Storytel:

  • Acceso ilimitado

  • Modo sin conexión

  • Modo Infantil

  • Cancela en cualquier momento

Historias ilimitadas siempre

Ilimitado

Para los que quieren escuchar y leer sin límites.

$7.99 /mes
7 días gratis
7 días gratis
  • 1 cuenta

  • Acceso ilimitado

  • Escucha y lee los títulos que quieras

  • Modo sin conexión + Modo Infantil

  • Cancela en cualquier momento

Pruébalo ahora